GUARRASI, VALERIO
GUARRASI, VALERIO
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
2023 DI TEODORO, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura
A multi-expert system to detect COVID-19 Cases in X-ray images
2021 Guarrasi, V.; D(')Amico, N. C.; Sicilia, R.; Cordelli, E.; Soda, P.
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
2021 Soda, P.; D'Amico, N. C.; Tessadori, J.; Valbusa, G.; Guarrasi, V.; Bortolotto, C.; Akbar, M. U.; Sicilia, R.; Cordelli, E.; Fazzini, D.; Cellina, M.; Oliva, G.; Callea, G.; Panella, S.; Cariati, M.; Cozzi, D.; Miele, V.; Stellato, E.; Carrafiello, G.; Castorani, G.; Simeone, A.; Preda, L.; Iannello, G.; Del Bue, A.; Tedoldi, F.; Ali, M.; Sona, D.; Papa, S.
Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19
2021 Fiscon, G.; Salvadore, F.; Guarrasi, V.; Garbuglia, A. R.; Paci, P.
Convolutional neural networks for automated classification of prostate multiparametric magnetic resonance imaging based on image quality
2022 Cipollari, S.; Guarrasi, V.; Pecoraro, M.; Bicchetti, M.; Messina, E.; Farina, L.; Paci, P.; Catalano, C.; Panebianco, V.
Fecal microbiota signatures of insulin resistance, inflammation, and metabolic syndrome in youth with obesity: a pilot study
2021 Del Chierico, F.; Manco, M.; Gardini, S.; Guarrasi, V.; Russo, A.; Bianchi, M.; Tortosa, V.; Quagliariello, A.; Shashaj, B.; Fintini, D.; Putignani, L.
Gut Microbiota Ecology and Inferred Functions in Children With ASD Compared to Neurotypical Subjects
2022 Vernocchi, P.; Ristori, M. V.; Guerrera, S.; Guarrasi, V.; Conte, F.; Russo, A.; Lupi, E.; Albitar-Nehme, S.; Gardini, S.; Paci, P.; Ianiro, G.; Vicari, S.; Gasbarrini, A.; Putignani, L.
Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors
2023 Vernocchi, P.; Marangelo, C.; Guerrera, S.; Del Chierico, F.; Guarrasi, V.; Gardini, S.; Conte, F.; Paci, P.; Ianiro, G.; Gasbarrini, A.; Vicari, S.; Putignani, L.
Gut Microbiota Functional Traits, Blood pH, and Anti-GAD Antibodies Concur in the Clinical Characterization of T1D at Onset
2022 Del Chierico, F.; Conta, G.; Matteoli, M. C.; Fierabracci, A.; Reddel, S.; Macari, G.; Gardini, S.; Guarrasi, V.; Levi Mortera, S.; Marzano, V.; Vernocchi, P.; Sciubba, F.; Marini, F.; Deodati, A.; Rapini, N.; Cianfarani, S.; Miccheli, A.; Putignani, L.
Hepatitis C diagnosis and treatment in people who use drugs: mind the gap in the linkage to care
2021 Taibi, C.; Luzzitelli, I.; Comandini, U. V.; Girardi, E.; Monacelli, G.; Rapisarda, L. M.; Garbuglia, A. R.; Minosse, C.; Guarrasi, V.; Vincenzi, L.; Iacomi, F.; D'Offizi, G.
Human Papillomavirus infections in cervical samples from HIV-positive women: evaluation of the presence of the nonavalent HPV genotypes and genetic diversity
2020 Sias, C.; Guarrasi, V.; Minosse, C.; Lapa, D.; Nonno, F. D.; Capobianchi, M. R.; Garbuglia, A. R.; Del Porto, P.; Paci, P.
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays
2022 Guarrasi, V.; D'Amico, N. C.; Sicilia, R.; Cordelli, E.; Soda, P.
Temporal Network Motifs: Models, Limitations, Evaluation
2023 Liu, P.; Guarrasi, V.; Sariyuce, A. E.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1 | 2023 | DI TEODORO, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura | |
| A multi-expert system to detect COVID-19 Cases in X-ray images | 2021 | Guarrasi, V.; D(')Amico, N. C.; Sicilia, R.; Cordelli, E.; Soda, P. | |
| AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study | 2021 | Soda, P.; D'Amico, N. C.; Tessadori, J.; Valbusa, G.; Guarrasi, V.; Bortolotto, C.; Akbar, M. U.; Sicilia, R.; Cordelli, E.; Fazzini, D.; Cellina, M.; Oliva, G.; Callea, G.; Panella, S.; Cariati, M.; Cozzi, D.; Miele, V.; Stellato, E.; Carrafiello, G.; Castorani, G.; Simeone, A.; Preda, L.; Iannello, G.; Del Bue, A.; Tedoldi, F.; Ali, M.; Sona, D.; Papa, S. | |
| Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19 | 2021 | Fiscon, G.; Salvadore, F.; Guarrasi, V.; Garbuglia, A. R.; Paci, P. | |
| Convolutional neural networks for automated classification of prostate multiparametric magnetic resonance imaging based on image quality | 2022 | Cipollari, S.; Guarrasi, V.; Pecoraro, M.; Bicchetti, M.; Messina, E.; Farina, L.; Paci, P.; Catalano, C.; Panebianco, V. | |
| Fecal microbiota signatures of insulin resistance, inflammation, and metabolic syndrome in youth with obesity: a pilot study | 2021 | Del Chierico, F.; Manco, M.; Gardini, S.; Guarrasi, V.; Russo, A.; Bianchi, M.; Tortosa, V.; Quagliariello, A.; Shashaj, B.; Fintini, D.; Putignani, L. | |
| Gut Microbiota Ecology and Inferred Functions in Children With ASD Compared to Neurotypical Subjects | 2022 | Vernocchi, P.; Ristori, M. V.; Guerrera, S.; Guarrasi, V.; Conte, F.; Russo, A.; Lupi, E.; Albitar-Nehme, S.; Gardini, S.; Paci, P.; Ianiro, G.; Vicari, S.; Gasbarrini, A.; Putignani, L. | |
| Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors | 2023 | Vernocchi, P.; Marangelo, C.; Guerrera, S.; Del Chierico, F.; Guarrasi, V.; Gardini, S.; Conte, F.; Paci, P.; Ianiro, G.; Gasbarrini, A.; Vicari, S.; Putignani, L. | |
| Gut Microbiota Functional Traits, Blood pH, and Anti-GAD Antibodies Concur in the Clinical Characterization of T1D at Onset | 2022 | Del Chierico, F.; Conta, G.; Matteoli, M. C.; Fierabracci, A.; Reddel, S.; Macari, G.; Gardini, S.; Guarrasi, V.; Levi Mortera, S.; Marzano, V.; Vernocchi, P.; Sciubba, F.; Marini, F.; Deodati, A.; Rapini, N.; Cianfarani, S.; Miccheli, A.; Putignani, L. | |
| Hepatitis C diagnosis and treatment in people who use drugs: mind the gap in the linkage to care | 2021 | Taibi, C.; Luzzitelli, I.; Comandini, U. V.; Girardi, E.; Monacelli, G.; Rapisarda, L. M.; Garbuglia, A. R.; Minosse, C.; Guarrasi, V.; Vincenzi, L.; Iacomi, F.; D'Offizi, G. | |
| Human Papillomavirus infections in cervical samples from HIV-positive women: evaluation of the presence of the nonavalent HPV genotypes and genetic diversity | 2020 | Sias, C.; Guarrasi, V.; Minosse, C.; Lapa, D.; Nonno, F. D.; Capobianchi, M. R.; Garbuglia, A. R.; Del Porto, P.; Paci, P. | |
| Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays | 2022 | Guarrasi, V.; D'Amico, N. C.; Sicilia, R.; Cordelli, E.; Soda, P. | |
| Temporal Network Motifs: Models, Limitations, Evaluation | 2023 | Liu, P.; Guarrasi, V.; Sariyuce, A. E. |